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Reduced Kalman Filter for RDSS/INS Integration Based on Time Differenced Carrier Phase

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4 Author(s)
Yonggang Tang ; Nat. Univ. of Defense Technol., Changsha ; Junxiang Lian ; Meiping Wu ; Lincheng Shen

Radio determination satellite service can provide both communication and positioning service through a group of geo-stationary satellites. The active-mode positioning of RDSS can lead to big time lag and user capacity limitation, and cannot provide continuously position, velocity and attitude outputs. To overcome these shortcomings a passive-mode RDSS/INS integration method is proposed. The velocity errors arc estimated and corrected by an extended Kalman filter using time-differenced carrier phase as measurements. The linearized observation equation is deduced and a reduced filter using Kalman-Schmidt algorithm is designed. Ship tests are performed to validate the principles and to evaluate the performance.

Published in:

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Date of Conference:

23-25 May 2007